| User | AdamOp |
| Upload Date | September 08 2025 11:23 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4159
773.5 IPS |
|
|
Image Classification (HP)
|
100% |
6321
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9374
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4618
74.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8526
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
32492
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
69292
81.2 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
5153
408.8 IPS |
|
|
Object Detection (Q)
|
87% |
9135
733.2 IPS |
|
|
Face Detection (SP)
|
100% |
8517
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
12540
149.0 IPS |
|
|
Face Detection (Q)
|
100% |
24190
287.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13053
100.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24866
193.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24080
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39021
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73808
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12980
479.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21917
811.7 IPS |
|
|
Text Classification (SP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3798
65.4 IPS |